Image Denoising Based on Mathematical Morphology
Image denoising implementation in MATLAB using mathematical morphology with enhanced structural element selection. Unlike traditional single-structure-element approaches that yield suboptimal results, this method utilizes multiple structuring elements (disk, square, line) through dilation and erosion operations. The implementation effectively handles Gaussian, salt-and-pepper, and Wiener noise types while maintaining algorithmic simplicity through morphological opening/closing operations with imopen() and imclose() functions.